Flaw-YOLOv5s: A Lightweight Potato Surface Defect Detection Algorithm Based on Multi-Scale Feature Fusion

Flaw-YOLOv5s: A Lightweight Potato Surface Defect Detection Algorithm Based on Multi-Scale Feature Fusion

Accurate and rapid detection of potato surface defects is crucial for advancing intelligent potato sorting. To elevate detection accuracy as well as shorten the computational load of the model, this paper proposes a lightweight Flaw-YOLOv5s algorithm for potato surface defect detection. Firstly, Dep...

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Bibliographic Details
Main Authors: Haitao Wu, Ranhui Zhu, Hengren Wang, Xiangyou Wang, Jie Huang, Shuwei Liu
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Agronomy
Subjects:
potato
surface detection
Flaw-YOLOv5s
depthwise separable convolution
Online Access:https://www.mdpi.com/2073-4395/15/4/875
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